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nilirl
searching PlanetScale…
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8 ms
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151.
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by
nilirl
1y ago
Let's be honest, this is us taking a few terms from a few neuroscience and cognitive psychology papers and running with it. There are two claims in this post: Initial goals get adjusted as we discover operating constraints, and it is e
152.
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nilirl
1y ago
"Fix inputs" => The assumption is there exists some perfect input that will give you exactly what you want. It probably works well for small inputs and tasks well-represented in the training data (like writing code for well-rep
153.
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by
nilirl
1y ago
I didn't understand what this was from the link posted; why choose cute over clear? But when I clicked around I found what the app was and I liked it. Here the cuteness was charming. Great work!
154.
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by
nilirl
1y ago
Just wanted to say, you single handedly made me a rust programmer. Your answers on stack overflow and your crates have helped me so much. Thank you!
155.
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by
nilirl
1y ago
Post was fun to read but a tad bit melodramatic. The "leaps" were nice analogies but poor evidence of anything. The example chats were not surprising completions, considering the prompts. That being said, my best guess echoes the
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by
nilirl
1y ago
I liked this. It got me thinking: Are there any large consumer software companies (just software; no hardware or retail) that are not advertising based?
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I'm scared of artificial stupidity
(idiotlamborghini.com)
3 points
by
nilirl
1y ago
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0 comments
158.
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nilirl
1y ago
No, I know that's a meaningless suggestion. I was trying to capture my sentiment: that there's nothing to do but be prepared to react.
159.
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nilirl
1y ago
Just like an analogy between humans fails to capture how an LLM works, so does the analogy of being "programmed". Being "programmed" is being given a set of instructions. This ignores explicit instructions. It may not be
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by
nilirl
1y ago
The model chose to kill the executive? Are we really here? Incredible. Just yesterday I was wowed by Fly.io's new offering; where the agent is given free reign of a server (root access). Now, I feel concerned. What do we do? Not experi
161.
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by
nilirl
1y ago
Wow, thank you for the link, it clarified how tool calling and "choice-making" works. It's like helping LLMs use a computer; like building an interface for it. Ok, this is enough to get me started.
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nilirl
1y ago
Beautiful demo! How do I build agents like this? Does anyone know any great resources to learn how to design agents? Tool agnostic resources would be awesome.
163.
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by
nilirl
1y ago
Sorry, not anxiety, I also meant to include the excitement of possibility. So, maybe anticipation is what I meant. I feel unease about LLMs too, along with a sense of appreciation for them. But this post does not seek to persuade, otherwise
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nilirl
1y ago
Pandering. The main claim is fine: If you disregard human expertise, AI can end up doing more harm than good. Biggest weakness: Strong sense of 'us vs them', 'Agile Industrial Complex' as a term for people working outsid
165.
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nilirl
1y ago
It makes claims, even if done in a humorous manner. It is still an argument.
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by
nilirl
1y ago
Would this be considered creative non-fiction? Do you remember that teacher in school who would sometimes lash out at a poorly performing student? This made me feel like I was watching a frustrated lash out from someone who cares. Captures
167.
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by
nilirl
1y ago
I can see value in it, but I'm unsure how much more value it provides compared to building software with my own heuristics for solving these problems. The LLM seems incredible at generating well-formatted text when I need it, like for
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nilirl
1y ago
I agree with you but I think the argument is that they can both exist together. Code to model what is easy to model with code, and natural language for things that are fuzzy or cumbersome in code.
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nilirl
1y ago
I think that's the argument from some of the other commenters: making it predictable and repeatable is the engineering task at hand. Some ways they're approaching it: - Reduce the requirement from 100% predictable to something low
170.
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nilirl
1y ago
They're able to handle large variance in their input, right out've the box. I think the appeal is code that handles changes in the world without having to change itself.
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by
nilirl
1y ago
So, if the humans have to model the task, the domain, and the process to currently solve it, why not just write the code to do so? Is the main benefit that we can do all of this in natural language?
172.
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by
nilirl
1y ago
Yes, I see your analogy between fallible humans and fallible AI. It's not the non-determinism that was bothering me, it was the decision making capability. I didn't understand what kinds of decisions I can rely on an LLM to make.
173.
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by
nilirl
1y ago
Thanks for the link, it taught me a lot. From what I gather, you can build an agent for a task as long as: - you trust the decision making of an LLM for the required type of decision to be made; so decisions framed as some kind of evaluatio
174.
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by
nilirl
1y ago
I see your point. It's nearing essential.
175.
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by
nilirl
1y ago
> AI Agents can initiate workflows independently and determine their sequence and combination dynamically I'm confused. A workflow has hardcoded branching paths; explicit if conditions and instructions on how to behave if true. So f
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nilirl
1y ago
Maybe pulp fiction has spoiled me but I found it unapproachable. I crave pace, parsability, and clear purpose.
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nilirl
1y ago
Where do these analogies break down? 1. Similar cost structure to electricity, but non-essential utility (currently)? 2. Like an operating system, but with non-determinism? 3. Like programming, but ...? Where does the programming analogy br
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by
nilirl
1y ago
How did it make an argument for immutability?
179.
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by
nilirl
1y ago
This felt forced. If you read through the whole thing, they don't manage to build an AI Agent, they make LLM API calls using Flink's SQL. They admit making it agentic, with choice over tool selection and with agent-like memory, re
180.
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by
nilirl
1y ago
You're making the argument that end-user programming must have the same priorities as professional software development.
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